activity
20242026
most citedOptimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks

1 citations · 1 across the 7 of their papers we have counts for

collaborators

14 papers

cs.LG2026

SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models

Nan Lin, Yanbo Wang, Jacco Heres +2

Smart meter data is the foundation for planning and operating the distribution network. Unfortunately, such data are not always available due to privacy regulations. Meanwhile, the…

eess.SY2025

Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks

Dong Liu, Juan S. Giraldo, Peter Palensky +1

Centralised reinforcement learning (RL) for voltage magnitude regulation in distribution networks typically involves numerous agent-environment interactions and power flow (PF) cal…

eess.SY2025

Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis

Zeynab Kaseb, Matthias Moller, Lindsay Spoor +4

The Newton-Raphson (NR) method is widely used for solving power flow (PF) equations due to its quadratic convergence. However, its performance deteriorates under poor initializatio…

eess.SY2025

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints

Stavros Orfanoudakis, Frans A. Oliehoek, Peter Palensky +1

Electric Vehicles (EVs) offer substantial flexibility for grid services, yet large-scale, uncoordinated charging can threaten voltage stability in distribution networks. Existing R…

eess.SY2025

SecuLEx: a Secure Limit Exchange Market for Dynamic Operating Envelopes

Maurizio Vassallo, Adrien Bolland, Alireza Bahmanyar +9

Distributed energy resources (DERs) are transforming power networks, challenging traditional operational methods, and requiring new coordination mechanisms. To address this challen…

eess.SY2025

Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems

Hongjin Du, Tuanku Badzlin Hashfi, Rashmi Prasad +3

With the growing integration of modular multilevel converters (MMCs) in Multi-Terminal Direct Current (MTDC) transmission systems, there is an increasing need for control strategie…